[1] DEKKERS J C M. Commercial application of marker-and gene-assisted selection in livestock:strategies and lessons[J]. J Anim Sci, 2004, 82(E-Suppl):E313-E328.
[2] DUNHAM R A. Gene mapping, quantitative trait locus mapping and marker-assisted selection[M]//DUNHAM R A. Aquaculture and Fisheries Biotechnology:Genetic Approaches. Wallingford, UK:CABI Publishing, 2004.
[3] TAKASUGA A, WATANABE T, MIZOGUCHI Y, et al. Identification of bovine QTL for growth and carcass traits in Japanese Black cattle by replication and identical-by-descent mapping[J]. Mamm Genome, 2007, 18(2):125-136.
[4] LINDHOLM-PERRY A K, SEXTEN A K, KUEHN L A, et al. Association, effects and validation of polymorphisms within the NCAPG-LCORL locus located on BTA6 with feed intake, gain, meat and carcass traits in beef cattle[J]. BMC Genet, 2011, 12(1):103.
[5] DORAN A G, BERRY D P, CREEVEY C J. Whole genome association study identifies regions of the bovine genome and biological pathways involved in carcass trait performance in Holstein-Friesian cattle[J]. BMC Genomics,2014, 15:837.
[6] 魏巨龙. 混合线性模型解析数量性状遗传基础的研究[D]. 北京:中国农业大学, 2016.
WEI J L. Application of Linear Mixed Model (LMM) to dissect genetic basis of quantitative traits[D]. Beijing:China Agricultural University, 2016. (in Chinese)
[7] ZENG Z B. Precision mapping of quantitative trait loci[J]. Genetics, 1994, 136(4):1457-1468.
[8] LANDER E S, BOTSTEIN D. Mapping Mendelian factors underlying quantitative traits using RFLP linkage maps[J]. Genetics, 1989, 121(1):185-199.
[9] FERNANDO R L, GARRICK D. Bayesian methods applied to GWAS[M]//GONDRO C, VAN DER WERF J, HAYES B. Genome-Wide Association Studies and Genomic Prediction. Totowa, NJ:Humana Press, 2013:237-274.
[10] YU J M, PRESSOIR G, BRIGGS W H, et al. A unified mixed-model method for association mapping that accounts for multiple levels of relatedness[J]. Nat Genet, 2006, 38(2):203-208.
[11] WEI J L, XU S Z. A random-model approach to QTL mapping in multiparent advanced generation intercross (MAGIC) populations[J]. Genetics, 2016, 202(2):471-486.
[12] JOHNSON R C, NELSON G W, TROYER J L, et al. Accounting for multiple comparisons in a genome-wide association study (GWAS)[J]. BMC Genomics, 2010, 11:724.
[13] PRICE A L, PATTERSON N J, PLENGE R M, et al. Principal components analysis corrects for stratification in genome-wide association studies[J]. Nat Genet, 2006, 38(8):904-909.
[14] WANG D, SUN Y, STANG P, et al. Comparison of methods for correcting population stratification in a genome-wide association study of rheumatoid arthritis:principal-component analysis versus multidimensional scaling[J]. BMC Proc, 2009, 3(Suppl 7):S109.
[15] THAMEEM F, WOLFORD J K, BOGARDUS C, et al. Analysis of PBX1 as a candidate gene for type 2 diabetes mellitus in Pima Indians[J]. Biochim Biophys Acta, 2001, 1518(1-2):215-220.
[16] SORANZO N, RIVADENEIRA F, CHINAPPEN-HORSLEY U, et al. Meta-analysis of genome-wide scans for human adult stature identifies novel loci and associations with measures of skeletal frame size[J]. PLoS Genet, 2009, 5(4):e1000445.
[17] ZHANG L F, ZHOU X, MICHAL J J, et al. Genome wide screening of candidate genes for improving piglet birth weight using high and low estimated breeding value populations[J]. Int J Biol Sci, 2014, 10(3):236-244.
[18] WU J H Y, LEMAITRE R N, MANICHAIKUL A, et al. Genome-wide association study identifies novel loci associated with concentrations of four plasma phospholipid fatty acids in the de novo lipogenesis pathway:Results from the cohorts for heart and aging research in genomic epidemiology (CHARGE) consortium[J]. Circ Cardiovasc Genet, 2013, 6(2):171-183.
[19] OHOKA Y, YOKOTA-NAKATSUMA A, MAEDA N, et al. Retinoic acid and GM-CSF coordinately induce retinal dehydrogenase 2(RALDH2) expression through cooperation between the RAR/RXR complex and Sp1 in dendritic cells[J]. PLoS One, 2014, 9(5):e96512.
[20] CHENG C X, CUI H Y, ZHANG L, et al. Genomic analyses reveal FAM84B and the NOTCH pathway are associated with the progression of esophageal squamous cell carcinoma[J]. GigaScience, 2016, 5:1.
[21] HERING D M, OLENSKI K, KAMINSKI S. Genome-wide association study for poor sperm motility in Holstein-Friesian bulls[J]. Anim Reprod Sci, 2014, 146(3-4):89-97.
[22] KIM K T, LEE J S, LEE B W, et al. Association between regulating synaptic membrane exocytosis 2 gene polymorphisms and degenerative lumbar scoliosis[J]. Biomed Rep, 2013, 1(4):619-623.
[23] KAESER P S,DENG L B, FAN M M, et al. RIM genes differentially contribute to organizing presynaptic release sites[J]. Proc Natl Acad Sci U S A, 2012, 109(29):11830-11835.
[24] RYU J, LEE C. Identification of contemporary selection signatures using composite log likelihood and their associations with marbling score in Korean cattle[J]. Anim Genet, 2015, 45(6):765-770. |